tbuy

nano-banana API pricing & access

nano-banana API pricing: $0.1333333 per request. nano-banana. Supports text, image, video, file input and text, image output. Listed specif…

nano-banana API access

nano-banana. Supports text, image, video, file input and text, image output. Listed specifications follow public vendor documentation. Available features and limits depend on the selected serving channel.

Compare supported API endpoints and capabilities, then access nano-banana through the unified API gateway.

Category: image
Context length: 131072 tokens
Maximum output: 32768 tokens
Supported APIs: OpenAI Chat Completions API
API endpoints: POST /v1/chat/completions
Input modalities: text, image, video, file
Output modalities: text, image
Capabilities: vision, reasoning

nano-banana API pricing

Base price: $0.1333333 per request

Base prices are shown in USD before group-specific adjustments. Open the live pricing page for current access-group prices.

About nano-banana

Use cases and prompting

Use cases to explore

Explore product visuals, campaign concepts and illustration drafts.
Compare composition and visual style across several prompt variations.

Practical tips

Specify the subject, composition, lighting and style. Only include reference images or editing parameters when the endpoint supports them.

Example prompt

A minimalist product photograph of a ceramic cup on pale stone, soft window light, ample empty space on the right, warm neutral colors.

How to call nano-banana

nano-banana is served through tbuy's unified gateway. Existing OpenAI or Anthropic SDK code keeps working: point base_url at https://modelsok.com and use your tbuy API key.

curl (OpenAI-compatible)

curl https://modelsok.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "nano-banana", "messages": [{"role": "user", "content": "Hello"}]}'

Python (openai SDK)

from openai import OpenAI

client = OpenAI(base_url="https://modelsok.com/v1", api_key="YOUR_API_KEY")
response = client.chat.completions.create(
    model="nano-banana",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Frequently asked questions about nano-banana

What is nano-banana?

How do I call nano-banana?

Create an API key with access to nano-banana, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.

How is nano-banana priced?

Pricing depends on the selected provider group and the model billing unit. Refer to the current input, output, request, or media prices in the pricing section.

What is the context window of nano-banana?

The model catalog lists a context window of 131072 tokens. Check the selected endpoint for request limits.

What is the maximum output of nano-banana?

The model catalog lists a maximum output of 32768 tokens. Your request settings may set a lower limit.

How should I evaluate nano-banana for my project?